Various Defect Detection Approaches in Fabric Images - A Review

Authors

  • M. Fathu Nisha  ECE, K.L.N.College of Information Technology, Madurai, Tamil Nadu, India
  • Dr. P. Vasuki  ECE, K.L.N.College of Information Technology, Madurai, Tamil Nadu, India
  • Dr. S. Mohamed Mansoor Roomi  ECE, Thiagarajar college of Engineering, Madurai, Tamil Nadu, India

Keywords:

Quality control; fabric Inspection; Automated Defect Detection;

Abstract

Fabric defect detection is a necessary and essential step of quality control in the textile manufacturing industry. This paper has been reviewed the various fabric defect detection methods of statistical, spectral, model based and structural approaches. This paper has been presented the survey on types of defects, detection accuracy, performance metric and inference from recent publications. This paper shall benefit researchers and practitioners in image processing and computer vision fields in understanding the characteristics of the different defect detection approaches.The conclusion from this paper suggest that the pulse coupled neural network (PCNN) approach is better detection accuracy than the other methods and is suggested for further research.

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International Journal of Scientific Research in Science and Technology

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Published

2017-04-30

Issue

Volume 3, Issue 5, May-June-2017

Section

Research Articles

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How to Cite

[1]
M. Fathu Nisha, Dr. P. Vasuki, Dr. S. Mohamed Mansoor Roomi, " Various Defect Detection Approaches in Fabric Images - A Review, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 5, pp.95-100, May-June-2017.